{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e9a00d2d",
   "metadata": {},
   "source": [
    "## 加载数据集Fashion MNIST"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4c7d63a5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:55.836896Z",
     "start_time": "2022-04-19T09:50:52.175591Z"
    }
   },
   "outputs": [],
   "source": [
    "# 2.1 加载数据集Fashion MNIST\n",
    "# 日常用品 服饰 \n",
    "# 7万张图片\n",
    "# 10个类别\n",
    "# 28*28像素\n",
    "# 用来训练神经网络模型\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "fashion_mnist = keras.datasets.fashion_mnist\n",
    "# 训练数据集、测试数据集\n",
    "(train_images,train_labels),(test_images,test_labels) = fashion_mnist.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d3cdd336",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:55.852849Z",
     "start_time": "2022-04-19T09:50:55.837889Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(60000, 28, 28)\n"
     ]
    }
   ],
   "source": [
    "# 数据的shape\n",
    "print(train_images.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bf7fcb52",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:55.868806Z",
     "start_time": "2022-04-19T09:50:55.853874Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60000,)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e2373b83",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:55.884763Z",
     "start_time": "2022-04-19T09:50:55.870828Z"
    },
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,\n",
       "          0,   0,  13,  73,   0,   0,   1,   4,   0,   0,   0,   0,   1,\n",
       "          1,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   3,\n",
       "          0,  36, 136, 127,  62,  54,   0,   0,   0,   1,   3,   4,   0,\n",
       "          0,   3],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   6,\n",
       "          0, 102, 204, 176, 134, 144, 123,  23,   0,   0,   0,   0,  12,\n",
       "         10,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0, 155, 236, 207, 178, 107, 156, 161, 109,  64,  23,  77, 130,\n",
       "         72,  15],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   0,\n",
       "         69, 207, 223, 218, 216, 216, 163, 127, 121, 122, 146, 141,  88,\n",
       "        172,  66],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   1,   1,   0,\n",
       "        200, 232, 232, 233, 229, 223, 223, 215, 213, 164, 127, 123, 196,\n",
       "        229,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "        183, 225, 216, 223, 228, 235, 227, 224, 222, 224, 221, 223, 245,\n",
       "        173,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "        193, 228, 218, 213, 198, 180, 212, 210, 211, 213, 223, 220, 243,\n",
       "        202,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   1,   3,   0,  12,\n",
       "        219, 220, 212, 218, 192, 169, 227, 208, 218, 224, 212, 226, 197,\n",
       "        209,  52],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   6,   0,  99,\n",
       "        244, 222, 220, 218, 203, 198, 221, 215, 213, 222, 220, 245, 119,\n",
       "        167,  56],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   4,   0,   0,  55,\n",
       "        236, 228, 230, 228, 240, 232, 213, 218, 223, 234, 217, 217, 209,\n",
       "         92,   0],\n",
       "       [  0,   0,   1,   4,   6,   7,   2,   0,   0,   0,   0,   0, 237,\n",
       "        226, 217, 223, 222, 219, 222, 221, 216, 223, 229, 215, 218, 255,\n",
       "         77,   0],\n",
       "       [  0,   3,   0,   0,   0,   0,   0,   0,   0,  62, 145, 204, 228,\n",
       "        207, 213, 221, 218, 208, 211, 218, 224, 223, 219, 215, 224, 244,\n",
       "        159,   0],\n",
       "       [  0,   0,   0,   0,  18,  44,  82, 107, 189, 228, 220, 222, 217,\n",
       "        226, 200, 205, 211, 230, 224, 234, 176, 188, 250, 248, 233, 238,\n",
       "        215,   0],\n",
       "       [  0,  57, 187, 208, 224, 221, 224, 208, 204, 214, 208, 209, 200,\n",
       "        159, 245, 193, 206, 223, 255, 255, 221, 234, 221, 211, 220, 232,\n",
       "        246,   0],\n",
       "       [  3, 202, 228, 224, 221, 211, 211, 214, 205, 205, 205, 220, 240,\n",
       "         80, 150, 255, 229, 221, 188, 154, 191, 210, 204, 209, 222, 228,\n",
       "        225,   0],\n",
       "       [ 98, 233, 198, 210, 222, 229, 229, 234, 249, 220, 194, 215, 217,\n",
       "        241,  65,  73, 106, 117, 168, 219, 221, 215, 217, 223, 223, 224,\n",
       "        229,  29],\n",
       "       [ 75, 204, 212, 204, 193, 205, 211, 225, 216, 185, 197, 206, 198,\n",
       "        213, 240, 195, 227, 245, 239, 223, 218, 212, 209, 222, 220, 221,\n",
       "        230,  67],\n",
       "       [ 48, 203, 183, 194, 213, 197, 185, 190, 194, 192, 202, 214, 219,\n",
       "        221, 220, 236, 225, 216, 199, 206, 186, 181, 177, 172, 181, 205,\n",
       "        206, 115],\n",
       "       [  0, 122, 219, 193, 179, 171, 183, 196, 204, 210, 213, 207, 211,\n",
       "        210, 200, 196, 194, 191, 195, 191, 198, 192, 176, 156, 167, 177,\n",
       "        210,  92],\n",
       "       [  0,   0,  74, 189, 212, 191, 175, 172, 175, 181, 185, 188, 189,\n",
       "        188, 193, 198, 204, 209, 210, 210, 211, 188, 188, 194, 192, 216,\n",
       "        170,   0],\n",
       "       [  2,   0,   0,   0,  66, 200, 222, 237, 239, 242, 246, 243, 244,\n",
       "        221, 220, 193, 191, 179, 182, 182, 181, 176, 166, 168,  99,  58,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,  40,  61,  44,  72,  41,  35,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0],\n",
       "       [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0,\n",
       "          0,   0]], dtype=uint8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 第一个图片的对应数据\n",
    "train_images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "47b84ed7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:56.293952Z",
     "start_time": "2022-04-19T09:50:55.885789Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1b448c81880>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 第一个图片对应的图像  选自\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(train_images[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7ea75463",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:56.310037Z",
     "start_time": "2022-04-19T09:50:56.294818Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n"
     ]
    }
   ],
   "source": [
    "print(train_labels[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "64756fde",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:56.436772Z",
     "start_time": "2022-04-19T09:50:56.310911Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1b44ad612e0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(train_images[1])  # 短袖"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fffec9b9",
   "metadata": {},
   "source": [
    "## 构造神经网络模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e71d2b5b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:57.240411Z",
     "start_time": "2022-04-19T09:50:56.439595Z"
    }
   },
   "outputs": [],
   "source": [
    "# 初始化时可直接加层，也可先不加，后加add\n",
    "model = keras.Sequential()\n",
    "# 开始加层\n",
    "# 输入层\n",
    "model.add(keras.layers.Flatten(input_shape=(28, 28)))\n",
    "# 中间层 有若干个神经元，每个神经元有3个输入，然后将3个输入与权重相乘\n",
    "# 激活函数有两种Relu和sotfmax函数  \n",
    "# Relu函数 x<0 y=0而x>=0是 y=x\n",
    "# sotfmax函数是将所有的y压缩到[0-1]之间\n",
    "# 设置28个神经元，同时设置激活函数为relu\n",
    "model.add(keras.layers.Dense(128,activation=tf.nn.relu))  \n",
    "\n",
    "# 加层 物体识别的结果有10个，激活函数为softmax\n",
    "model.add(keras.layers.Dense(10,activation=tf.nn.softmax))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "62d3e1ae",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:57.255641Z",
     "start_time": "2022-04-19T09:50:57.241405Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "flatten (Flatten)            (None, 784)               0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 128)               100480    \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 10)                1290      \n",
      "=================================================================\n",
      "Total params: 101,770\n",
      "Trainable params: 101,770\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# 模型的样子\n",
    "model.summary()\n",
    "# 说明\n",
    "# 100480 为 28*28=784个像素  然后（784个像素 + 1个bias）* 128个神经元 = 100480\n",
    "# bias为自动加的，相当于截距 每一个层都回加，除了输出层\n",
    "# 1290 为 （128+1）*10个类别  \n",
    "# 这种是全连接的神经网络模型"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0625c749",
   "metadata": {},
   "source": [
    "## 训练和评估模型"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "b9a7c97d",
   "metadata": {},
   "source": [
    "ppt是这种\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "381b6ca9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:50:57.271476Z",
     "start_time": "2022-04-19T09:50:57.256517Z"
    }
   },
   "outputs": [],
   "source": [
    "# 优化的方法以及损失函数\n",
    "# 效果与上方一致 但是下方可有提示\n",
    "# tf.optimizers.Adam() 优化函数\n",
    "# tf.losses.sparse_categorical_crossentropy损失函数  因为是类型所以选择这个\n",
    "#           sparse  为整数解，即什么类别 ，如果为one-hot如【0,0,0,0,1】 则使用tf.losses.categorical_crossentropy\n",
    "# metrics=['accuracy'] 为训练的时候我们想看到他的精度\n",
    "model.compile(optimizer=tf.optimizers.Adam(),loss=tf.losses.sparse_categorical_crossentropy, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ffb64aa0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:51:11.033767Z",
     "start_time": "2022-04-19T09:50:57.272475Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "1875/1875 [==============================] - 3s 1ms/step - loss: 2.4878 - accuracy: 0.6745\n",
      "Epoch 2/5\n",
      "1875/1875 [==============================] - 3s 1ms/step - loss: 0.6748 - accuracy: 0.7430\n",
      "Epoch 3/5\n",
      "1875/1875 [==============================] - 3s 1ms/step - loss: 0.5769 - accuracy: 0.7935\n",
      "Epoch 4/5\n",
      "1875/1875 [==============================] - 3s 1ms/step - loss: 0.5365 - accuracy: 0.8123: 0s - loss: 0.5365 - accuracy: \n",
      "Epoch 5/5\n",
      "1875/1875 [==============================] - 3s 1ms/step - loss: 0.5191 - accuracy: 0.8206\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x1b44b379d00>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_images,train_labels,epochs=5)  # 迭代5次"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6364962",
   "metadata": {},
   "source": [
    "如上，说明，迭代了5次，loss在不断减小，accuracy再不断增加，说明还可以，loss如果出现增加就不好了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1b1ef85b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:51:27.532825Z",
     "start_time": "2022-04-19T09:51:11.036755Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "1875/1875 [==============================] - 3s 2ms/step - loss: 0.7022 - accuracy: 0.7507\n",
      "Epoch 2/5\n",
      "1875/1875 [==============================] - 3s 2ms/step - loss: 0.4227 - accuracy: 0.8504\n",
      "Epoch 3/5\n",
      "1875/1875 [==============================] - 3s 2ms/step - loss: 0.3827 - accuracy: 0.8630\n",
      "Epoch 4/5\n",
      "1875/1875 [==============================] - 3s 2ms/step - loss: 0.3570 - accuracy: 0.8710\n",
      "Epoch 5/5\n",
      "1875/1875 [==============================] - 3s 2ms/step - loss: 0.3402 - accuracy: 0.8769\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x1b44b821a90>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_images = train_images/255 # 变成0-1 会使得loss下降更明显\n",
    "model.fit(train_images,train_labels,epochs=5)  # 迭代5次"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "926aaf3e",
   "metadata": {},
   "source": [
    "测试训练效果-整个模型进行评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ec6e027c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:51:28.111281Z",
     "start_time": "2022-04-19T09:51:27.536852Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 0s 1ms/step - loss: 0.3839 - accuracy: 0.8633\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.38390201330184937, 0.8633000254631042]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_images_scaled= test_images/255  # 因为刚才训练的时候归一了\n",
    "model.evaluate(test_images_scaled,test_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31f69346",
   "metadata": {},
   "source": [
    "如上accuracy为0.8616，比训练的accuracy=0.8782 稍差一些，但是不错的"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6455920c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:43:10.896571Z",
     "start_time": "2022-04-19T09:43:09.558766Z"
    }
   },
   "source": [
    "测试训练效果-预测单个图片的类别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "53138a76",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:51:29.407808Z",
     "start_time": "2022-04-19T09:51:28.112274Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Model was constructed with shape (None, 28, 28) for input Tensor(\"flatten_input:0\", shape=(None, 28, 28), dtype=float32), but it was called on an input with incompatible shape (None, 28).\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "in user code:\n\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1462 predict_function  *\n        return step_function(self, iterator)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1452 step_function  **\n        outputs = model.distribute_strategy.run(run_step, args=(data,))\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n        return self._call_for_each_replica(fn, args, kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n        return fn(*args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1445 run_step  **\n        outputs = model.predict_step(data)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1418 predict_step\n        return self(x, training=False)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n        outputs = call_fn(inputs, *args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\sequential.py:372 call\n        return super(Sequential, self).call(inputs, training=training, mask=mask)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n        return self._run_internal_graph(\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:508 _run_internal_graph\n        outputs = node.layer(*args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:975 __call__\n        input_spec.assert_input_compatibility(self.input_spec, inputs,\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\input_spec.py:212 assert_input_compatibility\n        raise ValueError(\n\n    ValueError: Input 0 of layer dense is incompatible with the layer: expected axis -1 of input shape to have value 784 but received input with shape [None, 28]\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-f0db5fb18c36>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mtest_images\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;36m255\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# test_images/255 保持与训练一样，加两侧括号为了一致\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36m_method_wrapper\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    128\u001b[0m       raise ValueError('{} is not supported in multi-worker mode.'.format(\n\u001b[0;32m    129\u001b[0m           method.__name__))\n\u001b[1;32m--> 130\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    131\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    132\u001b[0m   return tf_decorator.make_decorator(\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mpredict\u001b[1;34m(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)\u001b[0m\n\u001b[0;32m   1597\u001b[0m           \u001b[1;32mfor\u001b[0m \u001b[0mstep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msteps\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1598\u001b[0m             \u001b[0mcallbacks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mon_predict_batch_begin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstep\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1599\u001b[1;33m             \u001b[0mtmp_batch_outputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpredict_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1600\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mdata_handler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshould_sync\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1601\u001b[0m               \u001b[0mcontext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masync_wait\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m    778\u001b[0m       \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    779\u001b[0m         \u001b[0mcompiler\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"nonXla\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 780\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    781\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    782\u001b[0m       \u001b[0mnew_tracing_count\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_tracing_count\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m    821\u001b[0m       \u001b[1;31m# This is the first call of __call__, so we have to initialize.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    822\u001b[0m       \u001b[0minitializers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 823\u001b[1;33m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initialize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0madd_initializers_to\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minitializers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    824\u001b[0m     \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    825\u001b[0m       \u001b[1;31m# At this point we know that the initialization is complete (or less\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_initialize\u001b[1;34m(self, args, kwds, add_initializers_to)\u001b[0m\n\u001b[0;32m    694\u001b[0m     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph_deleter\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mFunctionDeleter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lifted_initializer_graph\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    695\u001b[0m     self._concrete_stateful_fn = (\n\u001b[1;32m--> 696\u001b[1;33m         self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access\n\u001b[0m\u001b[0;32m    697\u001b[0m             *args, **kwds))\n\u001b[0;32m    698\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_get_concrete_function_internal_garbage_collected\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   2853\u001b[0m       \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2854\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2855\u001b[1;33m       \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2856\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2857\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_maybe_define_function\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m   3211\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3212\u001b[0m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmissed\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcall_context_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3213\u001b[1;33m       \u001b[0mgraph_function\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_create_graph_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3214\u001b[0m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprimary\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcache_key\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3215\u001b[0m       \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_create_graph_function\u001b[1;34m(self, args, kwargs, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m   3063\u001b[0m     \u001b[0marg_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbase_arg_names\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mmissing_arg_names\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3064\u001b[0m     graph_function = ConcreteFunction(\n\u001b[1;32m-> 3065\u001b[1;33m         func_graph_module.func_graph_from_py_func(\n\u001b[0m\u001b[0;32m   3066\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3067\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_python_function\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mfunc_graph_from_py_func\u001b[1;34m(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m    984\u001b[0m         \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moriginal_func\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_decorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpython_func\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    985\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 986\u001b[1;33m       \u001b[0mfunc_outputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpython_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mfunc_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mfunc_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    987\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    988\u001b[0m       \u001b[1;31m# invariant: `func_outputs` contains only Tensors, CompositeTensors,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36mwrapped_fn\u001b[1;34m(*args, **kwds)\u001b[0m\n\u001b[0;32m    598\u001b[0m         \u001b[1;31m# __wrapped__ allows AutoGraph to swap in a converted function. We give\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    599\u001b[0m         \u001b[1;31m# the function a weak reference to itself to avoid a reference cycle.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 600\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__wrapped__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    601\u001b[0m     \u001b[0mweak_wrapped_fn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mweakref\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mref\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mwrapped_fn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    602\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    971\u001b[0m           \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# pylint:disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    972\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"ag_error_metadata\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 973\u001b[1;33m               \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mag_error_metadata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    974\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    975\u001b[0m               \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: in user code:\n\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1462 predict_function  *\n        return step_function(self, iterator)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1452 step_function  **\n        outputs = model.distribute_strategy.run(run_step, args=(data,))\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1211 run\n        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2585 call_for_each_replica\n        return self._call_for_each_replica(fn, args, kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2945 _call_for_each_replica\n        return fn(*args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1445 run_step  **\n        outputs = model.predict_step(data)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1418 predict_step\n        return self(x, training=False)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:985 __call__\n        outputs = call_fn(inputs, *args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\sequential.py:372 call\n        return super(Sequential, self).call(inputs, training=training, mask=mask)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:385 call\n        return self._run_internal_graph(\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\functional.py:508 _run_internal_graph\n        outputs = node.layer(*args, **kwargs)\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:975 __call__\n        input_spec.assert_input_compatibility(self.input_spec, inputs,\n    C:\\ProgramData\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\input_spec.py:212 assert_input_compatibility\n        raise ValueError(\n\n    ValueError: Input 0 of layer dense is incompatible with the layer: expected axis -1 of input shape to have value 784 but received input with shape [None, 28]\n"
     ]
    }
   ],
   "source": [
    "model.predict([[test_images[0]/255]])  # test_images/255 保持与训练一样，加两侧括号为了一致  还是报错"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f5c5ac33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:55:40.420587Z",
     "start_time": "2022-04-19T09:55:40.358663Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7.6209915e-05, 6.1593269e-08, 2.0707487e-06, 8.7981944e-06,\n",
       "        1.5828150e-06, 2.0993335e-02, 3.3136169e-04, 6.4823173e-02,\n",
       "        1.3846651e-03, 9.1237873e-01]], dtype=float32)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(tf.reshape(test_images[0]/255,(1,28,28)))  # 如下是10个类别的可能性 可以看到最后一个最大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "15de5e35",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T09:55:59.179281Z",
     "start_time": "2022-04-19T09:55:59.109499Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 10)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(tf.reshape(test_images[0]/255,(1,28,28))).shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df68aeff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 具体是什么类型的图片，可以使用numpy.argmax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d6bd189d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T10:04:57.337778Z",
     "start_time": "2022-04-19T10:04:57.286913Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "print(np.argmax(model.predict(tf.reshape(test_images[0]/255,(1,28,28)))))  # 猜测的类别\n",
    "print(test_labels[0])  # 实际的类别"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b973e34",
   "metadata": {},
   "source": [
    "如上预测出来的和实际的标签值是一致的，很好"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8b2cb479",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T10:06:43.130373Z",
     "start_time": "2022-04-19T10:06:42.980773Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1b49c0ba760>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 打印出来图片\n",
    "import matplotlib.pyplot as plt\n",
    "plt.imshow(test_images[0])  # 为靴子"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7798daec",
   "metadata": {},
   "source": [
    "## 自动终止\n",
    "神经网络会出现过拟合情况，查看loss"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "id": "9b08e80a",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47cc5969",
   "metadata": {},
   "source": [
    "需要自己定义一个类用来停止"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6748b66f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T10:30:28.353910Z",
     "start_time": "2022-04-19T10:30:28.341940Z"
    }
   },
   "outputs": [],
   "source": [
    "class myCallback(tf. keras. callbacks. Callback): \n",
    "    def on_epoch_end(self, epoch,logs={}):\n",
    "        if(logs.get('loss')<0.5): \n",
    "            print(\"\\ nLoss is low so cancelling trainingl\")\n",
    "            self.model.top_training=True \n",
    "\n",
    "callbacks=myCallback()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b26e0bff",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-04-19T10:30:56.272937Z",
     "start_time": "2022-04-19T10:30:32.852321Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "   1/1875 [..............................] - ETA: 0s - loss: 297.3781 - accuracy: 0.0625WARNING:tensorflow:Callbacks method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0010s vs `on_train_batch_end` time: 0.0020s). Check your callbacks.\n",
      "1875/1875 [==============================] - 5s 2ms/step - loss: 4.0550 - accuracy: 0.7624\n",
      "Epoch 2/5\n",
      "1875/1875 [==============================] - 5s 2ms/step - loss: 0.5347 - accuracy: 0.8199\n",
      "Epoch 3/5\n",
      "1875/1875 [==============================] - 5s 2ms/step - loss: 0.5051 - accuracy: 0.8300\n",
      "Epoch 4/5\n",
      "1875/1875 [==============================] - 5s 2ms/step - loss: 0.5004 - accuracy: 0.8340\n",
      "Epoch 5/5\n",
      "1858/1875 [============================>.] - ETA: 0s - loss: 0.4817 - accuracy: 0.8422\\ nLoss is low so cancelling trainingl\n",
      "1875/1875 [==============================] - 5s 2ms/step - loss: 0.4811 - accuracy: 0.8424\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x1b49dcb8be0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "fashion_mnist = keras.datasets.fashion_mnist\n",
    "# 训练数据集、测试数据集\n",
    "(train_images,train_labels),(test_images,test_labels) = fashion_mnist.load_data()\n",
    "model = keras.Sequential()\n",
    "model.add(keras.layers.Flatten(input_shape=(28, 28)))\n",
    "model.add(keras.layers.Dense(512,activation=tf.nn.relu)) \n",
    "model.add(keras.layers.Dense(10,activation=tf.nn.softmax)) \n",
    "model.compile(optimizer=tf.optimizers.Adam(),loss=tf.losses.sparse_categorical_crossentropy, metrics=['accuracy'])\n",
    "model.fit(train_images,train_labels,epochs=5,callbacks=[callbacks])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abd56291",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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